Skip to main content
Glama

prompt_generate

Generate blockchain prompts by filling predefined template variables with your input values.

Instructions

Generate a prompt by filling in template variables

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
variablesYesVariable values as key-value pairs
templateIdYesTemplate ID
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It does not explain whether this is a read-only operation, how it interacts with template storage, or what happens with missing variables, leaving significant behavioral ambiguity.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence with no wasted words. It is concise, though the brevity borders on under-specification, which is penalized in other dimensions.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Without an output schema or annotations, the description should explain what the generated prompt looks like or how that the templateId is obtained. It lacks context about the prompt workflow and doesn't mention any related tools for listing or retrieving templates, leaving the agent under-informed.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema already describes both parameters (templateId and variables) with 100% coverage, so the baseline is 3. The description adds only that variables are used for 'filling in template variables', which is already implied by the schema's 'Variable values as key-value pairs' and the tool name.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'generate' and resource 'prompt', with the mechanism 'filling in template variables'. However, it doesn't differentiate from sibling tools like prompt_build_custom or prompt_quick, so it lacks explicit sibling distinction.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives like prompt_build_custom, prompt_quick, or prompt_get. The description only states what it does, with no context or exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/nirholas/universal-crypto-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server